# Copyright 2022 Hewlett Packard Enterprise Development LP # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. #------------------------------------------------------------------------- #------------------------------------------------------------------------- # PIACERE ICG Main # # This module has been tested with Python v3.9.7 # To use it you must first install PyEcore, PyYAML, Jinja2 # $ pip install pyecore~=0.12.2 # $ pip install PyYAML==6.0 # $ pip install Jinja2==3.0.3 # # Usage: python main.py [-h] [-d dir] [-v] [--single] model # -h prints usage # -d dir loads metamodel from <dir> # --single / --single_mmodel use the single (non-split) metamodel # model the input model to be translated into the ICG intermediate representation # #------------------------------------------------------------------------- import logging import sys from fastapi import FastAPI import api.InfrastructureTemplateController from controller import Orchestrator from icgparser import ModelPrinter fast_api = FastAPI() fast_api.include_router(api.InfrastructureTemplateController.api_router) logging.getLogger().setLevel(logging.INFO) # ------------------------------------------------------------------------- # Parse parameters # ------------------------------------------------------------------------- skip_next = False doml_directory = "./icgparser/doml/v1" model_filename = "icgparser/doml/v1/nginx-openstack_v1.domlx" load_split_model = False output_file_name = "iac_files.tar.gz" # get metamodel directory from command line def param_dir(pos, list): global doml_directory global skip_next doml_directory = list[pos + 1] print(f" doml_directory = {doml_directory} model_filename = {model_filename}") skip_next = True def param_help(pos, list): print(f"\nUsage: {sys.argv[0]} [-h] [-d <doml_directory>] [--single] <model_filename>\n") sys.exit() # indicate to load the single-file metamodel (doml.ecore) instead of the split one def param_single(pos, list): global load_split_model print(f"--> param_single({pos},{list}") load_split_model = False options = {'-d': param_dir, '-h': param_help, '--single_mmodel': param_single, '--single': param_single, '--output': output_file_name} argc = len(sys.argv) paramlist = sys.argv[1:] for i, param in enumerate(paramlist): print(f"i={i} param={param} skip_next={skip_next}") if param in options: options[param](i, paramlist) continue if skip_next: skip_next = False continue else: model_filename = param if __name__ == '__main__': ModelPrinter.print_model(model_path=model_filename, is_multiecore_metamodel=load_split_model, metamodel_directory=doml_directory) compress_folder_info = Orchestrator.create_iac_from_doml_path(model_path=model_filename, is_multiecore_metamodel=load_split_model, metamodel_directory=doml_directory)